Skip to content

aisyahnasywa/hwc-spatial-modelling

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 

Repository files navigation

Human-Wildlife Spatial Modelling for 4 Key Species

Overview

This project was developed during my internship at the Natural Resources Conservation Agency (BKSDA) as GIS analyst, a government body under the Ministry of Environment and Forestry. The study focuses on the spatial prediction and mapping of Human-Wildlife Conflict (HWC) zones for four key species: Sumatran Elephant, Sumatran Tiger, Sun Bear, and Saltwater Crocodile.

Objectives

  • Map the spatial distribution of habitat suitability in Jambi Province using MaxEnt
  • Predict the HWC zone for 4 key species in Jambi Province

Study Area

Jambi Province, Indonesia.

Software

  • ArcGIS
  • RStudio
  • Google Earth Engine
  • MaxEnt

Input Parameters

  • Habitat suitability model
  • Human activity intensity

Methodology

The methodology employs a multi-criteria spatial modeling approach to delineate potential conflict zones. First, Habitat Suitability models were developed for each species using Maximum Entropy (MaxEnt), with environmental variables specifically tailored to the ecological requirements of each species. For Human Activity Intensity map was generated through a Weighted Overlay technique, conducted under the professional supervision of BKSDA experts to accurately represent anthropogenic pressures. The final Human-Wildlife Conflict (HWC) map was produced by overlaying the species habitat suitability with human activity intensity.

Notes

Sensitive wildlife confidential ecological information are excluded and all output maps in this repository are presented in low resolution to support species protection and data confidentiality.

Author

Aisyah Nasywa Talitha (GIS and Remote Sensing Enthusiast)

About

Human-wildlife conflict (HWC) vulnerability mapping at provincial scale using spatial modelling — identifying high-risk conflict zones to support evidence-based conservation planning and mitigation strategies in Jambi, Indonesia.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors